Integration and Analysis: Outline of data set for the
evaluation of the roles of water cycle in land surface processes over Eurasia
A hydrological model calculates land surface
processes over Mongolia and Eurasia using grid input data of
meteorology, vegetation, soil, topography and etc. Integration of
the results and input data using data integration and analysis
system makes it possible to evaluate water cycle dynamics at the
Eurasian continental scale, as well as yields a number of data sets
related to hydrological processes in an atmosphere-land system.
Flow chart for the construction of data set to evaluate the
roles of water cycle in land surface processes over Eurasia.
Evaluation of water cycle
dynamics over Eurasia
It evaluates the change and trend of hydrological processes over
Eurasia since 1980, including the effects of the temporal and
spatial variability of the processes on the atmospheric seasonality.
The work is focused on air temperature, precipitation, solar
radiation, energy balance, evapotranspiration and runoff with 0.5
× 0.5 degree grid scale.
Annual total precipitation (upper left), annual mean air temperature
(upper right), maximum temperature (lower left), and minimum
temperature (lower right) in 1986. Click each image to view its
animation map from 1986 to 2004.
The sample data contain annual total precipitation, annual mean air,
maximum, and minimum temperature from 1986 to 2004.
The sample data contain daily precipitation, mean air temperature, maximum air temperature, minimum air temperature and solar radiation
interpolated by near-distance interpolation method based on Baseline Meteorological Dataset of Siberia (BMDS, 77stations). Additionally,
daily thawing depth, soil water and snow depth calculated by land surface model (2LM; Park et al. 2008) using above mentioned data are also provided.
The period of the data is from 1986 to 2004.
Park, H., Yamazaki, T., Yamamoto, K., and Ohta T., (2008) Tempo-spatial characteristics of energy budget and evapotranspiration in eastern Siberia. Agricultural and Forest Meteorology, 148, 1990-2005.